Cognition plans to grade engineers on AI efficiency and tie their spending limits to the result, according to The Information.Read original on X
StoryFirst seen
Cognition to grade engineers on AI efficiency and cap spending
Tying model budgets to performance grades would make AI usage a measured, managed cost inside engineering teams.
Everything it touches
2 names 1 voices 1 source posts
The story’s neighborhood
Explore the graph, or choose a connection below.
Follow the evidence
The source posts
This brief comes from Tech Twitter’s edited headlines. The posts below are the sources grouped with the story; statements in them belong to their authors.
How the headline evolved
Cognition to grade engineers on AI efficiency and cap spending
Cognition to grade engineers on AI efficiency and cap spending
Cognition to grade engineers on AI efficiency and cap spending
Cognition to grade engineers on AI efficiency and cap spending
Cognition to grade engineers on AI efficiency and cap spending
Cognition will grade engineers on AI efficiency and cap spending
Cognition will grade engineers on AI efficiency and cap spending
Shared connections
Related stories
Cognition releases SWE coding model built on Thinking Machines' Inkling-Small
The model is tuned for real-world coding tasks, giving developers another option among AI coding tools.
Gemini Carbon model scores 40% on FrontierCode coding benchmark
It ranks near the top at $4.04 per task, behind three rival models in the same evaluation.
Anthropic has about 11,900 business customers spending $100,000 yearly
OpenAI is pushing cheaper models to win these large accounts, which makes Anthropic's lead harder to challenge.
OpenAI claims faster method for a core computer science problem
If confirmed, the claim would challenge a basic assumption about how hard a common class of logic problems is to solve.